Éditeur(s) : HAL CCSD American Institute of Physics
Résumé : International audience
In order to be able to provide valuable data in multiparameter measurement field operations, tiltmeters need to have a noise level better or equal than 10-9 rad for a period range from a few minutes to a few years and a long term stability ranging from 10-7 to 10-8 rad/yr. Tiltmeter measurements should also be as much as possible insensitive to thermal disturbances, by taking great care of the horizontality of the base line tube first. Secondly, thermal responses have been assessed. We also took great care of the coupling of our tiltmeters with the bedrock. We've designed a long base tiltmeter with sensors in silica which has a low dilatation coefficient. The linear variable displacement transducer is based on coil coupling (powered by an alternative voltage). Finally we show the results of two 100 m silica water tube tiltmeters which were installed in a mine in the French Vosges massif in the framework of a hydrology research project. These instruments show a remarkably good stability (6.5×10-9 rad/month) and a low noise level (of the order of 10-11 rad). Toroidal and spheroidal free modes of the Earth were observed after the two last major earthquakes on Sumatra.
ISSN: 0034-6748

hal-00708013
https://hal.archives-ouvertes.fr/hal-00708013
https://hal.archives-ouvertes.fr/hal-00708013/document
https://hal.archives-ouvertes.fr/hal-00708013/file/2008_RSI.pdf
BIBCODE : 2008RScI...79c4502B

Éditeur(s) : HAL CCSD
Résumé : International audience
In this paper we study how to detect anomalies in a distributed manner by using wireless sensor networks (WSN). We focus on a medical context, where existing works generally provide large environments to monitor patients using sensors as simple transducers. Those devices forward sensed health parameters to a main base station. This station collects received data and may perform some computations. In this paper, we perform some distributed tasks on the sensors. We propose a distributed algorithm which allows to raise alarms under some initial rules to alert efficiently medical staff in case of critical situations without needles warnings.
10th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WOWMOM 2009.
KOS, Greece

hal-00519589
https://hal.archives-ouvertes.fr/hal-00519589

Éditeur(s) : HAL CCSD Wiley
Résumé : Revue de rang A
International audience
This paper studies how to detect anomalies in a distributed manner by using wireless sensor networks (WSNs). We focus on a medical context, where the existing works generally provide large environments to monitor patients using sensors as simple transducers. Those devices forward sensed health parameters to a main base station. This station collects received data and may perform some computations. In this paper, we perform some distributed tasks on the sensors. We propose a distributed algorithm, which allows to raise alarms under some initial rules to alert efficiently medical staff in case of critical situations without needless warnings. Each mote monitors a parameter. When this parameter reaches an abnormal value, the mote communicates with other motes in order to check if it is a ‘local' anomaly or if the patient is in an abnormal situation. In such cases an alarm is raised. We implemented our algorithm over a network of micaZ sensors running under TinyOS. The obtained results show promising perspectives.
ISSN: 1532-0626

hal-00519594
https://hal.archives-ouvertes.fr/hal-00519594
DOI : 10.1002/cpe.1583

Éditeur(s) : HAL CCSD
Résumé : International audience
The aim of this study is to perform a simulation of large scale Wireless Sensor Networks (WSN) working on medical diagnosis. The main feature of this WSN is its density and the fact that all sensors are in the same radio range. Our approach helps medical staff to diagnose diseases in an automatic way. In this context, each patient is equipped to a set of sensors. Each sensor is connected to a transducer dedicated to measure a specific health parameter . This WSN will perform some computations and run an alarm when some diseases are suspected. This technique is based on the population protocol to handle data exchanged between sensors. This approach is in fact an efficient distributed algorithm which implies that the diagnose may be done by any sensor dealing with the disease detection. The main result of this paper is: the method supports large scalability which proves its practicability for real cases.
Computers and Communications (ISCC), 2010 IEEE Symposium on Computers and Communications.
Riccione, Italy

hal-00519595
https://hal.archives-ouvertes.fr/hal-00519595

Éditeur(s) : HAL CCSD Endocrine Society
Résumé : International audience
Sertoli cells (SCs), the only somatic cells within seminiferous tubules, associate intimately with developing germ cells. They not only provide physical and nutritional support but also secrete factors essential to the complex developmental processes of germ cell proliferation and differentiation. The SC transcriptome must therefore adapt rapidly during the different stages of spermatogenesis. We report comprehensive genome-wide expression profiles of pure populations of SCs isolated at 5 distinct stages of the first wave of mouse spermatogenesis, using RNA sequencing technology. We were able to reconstruct about 13 901 high-confidence, nonredundant coding and noncoding transcripts, characterized by complex alternative splicing patterns with more than 45% comprising novel isoforms of known genes. Interestingly, roughly one-fifth (2939) of these genes exhibited a dynamic expression profile reflecting the evolving role of SCs during the progression of spermatogenesis, with stage-specific expression of genes involved in biological processes such as cell cycle regulation, metabolism and energy production, retinoic acid synthesis, and blood-testis barrier biogenesis. Finally, regulatory network analysis identified the transcription factors endothelial PAS domain-containing protein 1 (EPAS1/Hif2α), aryl hydrocarbon receptor nuclear translocator (ARNT/Hif1β), and signal transducer and activator of transcription 1 (STAT1) as potential master regulators driving the SC transcriptional program. Our results highlight the plastic transcriptional landscape of SCs during the progression of spermatogenesis and provide valuable resources to better understand SC function and spermatogenesis and its related disorders, such as male infertility.
ISSN: 0888-8809

hal-01146846
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01146846
DOI : 10.1210/me.2014-1356
PUBMED : 25710594

Éditeur(s) : HAL CCSD
Résumé : International audience
The aim of this study is to suggest an automated technique for distributed decision. It is based on protocol population deployed on Wireless Sensor Networks (WSN). This approach is able to help medical staff to detect earlier than usual some diseases on patients. It could be easily adapted for many other fields (fire monitoring, environment supervising, ...) In this context, a patient is equipped with health parameter transducers which are connected to a WSN. This WSN will perform some computations and raise an alarm when some diseases are suspected. The algorithm is distributed, i.e., the decision may be done by any mote dealing with the disease detection. The experimentations show promising results.
a venir
Denver, Colorado, United States

hal-00519597
https://hal.archives-ouvertes.fr/hal-00519597

Éditeur(s) : HAL CCSD MDPI
Résumé : International audience
The number and amount of man-made chemicals present in the aquatic environment has increased considerably over the past 50 years. Among these contaminants, endocrine-disrupting chemicals (EDCs) represent a significant proportion. This family of compounds interferes with normal hormonal processes through multiple molecular pathways. They represent a potential risk for human and wildlife as they are suspected to be involved in the development of diseases including, but not limited to, reprotoxicity, metabolic disorders, and cancers. More precisely, several studies have suggested that the increase of breast cancers in industrialized countries is linked to exposure to EDCs, particularly estrogen-like compounds. Estrogen receptors alpha (ERα) and beta (ERβ) are the two main transducers of estrogen action and therefore important targets for these estrogen-like endocrine disrupters. More than 70% of human breast cancers are ERα-positive and estrogen-dependent, and their development and growth are not only influenced by endogenous estrogens but also likely by environmental estrogen-like endocrine disrupters. It is, therefore, of major importance to characterize the potential estrogenic activity from contaminated surface water and identify the molecules responsible for the hormonal effects. This information will help us understand how environmental contaminants can potentially impact the development of breast cancer and allow us to fix a maximal limit to the concentration of estrogen-like compounds that should be found in the environment. The aim of this review is to provide an overview of emerging estrogen-like compounds in the environment, sum up studies demonstrating their direct or indirect interactions with ERs, and link their presence to the development of breast cancer. Finally, we emphasize the use of in vitro and in vivo methods based on the zebrafish model to identify and characterize environmental estrogens.
ISSN: 2073-4425

hal-01616486
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01616486
DOI : 10.3390/genes8090229
PUBMED : 28914763
PUBMEDCENTRAL : PMC5615362